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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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of biomedical microfluidics (LBMM; www.epfl.ch/labs/lbmm ) at the Swiss Federal Institute of Technology in Lausanne (EPFL), is looking for postdocs with a primary training in single-cell biology, next generation
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cell biology and next generation sequencing. Experience in droplet-microfluidics, including use of commercial devices such as the 10X Genomics platform is beneficial, but not absolutely crucial. For two
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-negative pathogens (Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa). The project will combine single-cell/single-bacterium imaging approaches with the lab's tissue-engineered
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optical technologies to study mechanisms of cell surface signaling, cancer neuroscience, and protein engineering, integrating molecular biology, cell biology, and systems neuroscience approaches. To support
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, including physics, biophysics, cell biology, biochemistry, and engineering. We welcome applications from Postdoctoral candidates who are interested in developing their independent research ideas aligned with
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of SATURNA, namely Language Models for RNA sequences, Graph representation learning and generative models, Knowledge-Augmented RNA modeling, Computational RNA biology and Experimental stem cell biology and RNA
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cancer biology, genetics, and epigenetics. The ideal candidate will have a proven track record of scientific excellence, demonstrated through high-quality publications. The position is available in